Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
a5e34b3
·
verified ·
1 Parent(s): 5ae7f6a

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json +100 -102
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,24 +2,24 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 892.260352,
6
- "max_global_vram": 1059.876864,
7
- "max_process_vram": 43602.382848,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 6.6299853515625,
15
- "mean": 6.6299853515625,
16
  "stdev": 0.0,
17
- "p50": 6.6299853515625,
18
- "p90": 6.6299853515625,
19
- "p95": 6.6299853515625,
20
- "p99": 6.6299853515625,
21
  "values": [
22
- 6.6299853515625
23
  ]
24
  },
25
  "throughput": null,
@@ -29,108 +29,106 @@
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
- "max_ram": 1036.955648,
33
- "max_global_vram": 1122.803712,
34
- "max_process_vram": 277343.98976,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
- "count": 80,
41
- "total": 1.0039312725067135,
42
- "mean": 0.012549140906333925,
43
- "stdev": 0.0008931504432433082,
44
- "p50": 0.012317723751068117,
45
- "p90": 0.01280103750228882,
46
- "p95": 0.013068733930587767,
47
- "p99": 0.01692640060424803,
48
  "values": [
49
- 0.01299444580078125,
50
- 0.013118287086486817,
51
- 0.013066125869750976,
52
- 0.013045966148376465,
53
- 0.01906294822692871,
54
- 0.012566285133361816,
55
- 0.012705804824829102,
56
- 0.012451884269714355,
57
- 0.012454765319824219,
58
- 0.012450284957885742,
59
- 0.012571724891662597,
60
- 0.012541324615478515,
61
- 0.012576845169067383,
62
- 0.012582284927368164,
63
- 0.013906609535217286,
64
- 0.012444364547729491,
65
- 0.012240683555603028,
66
- 0.012223724365234376,
67
- 0.012226123809814454,
68
- 0.012234602928161621,
69
- 0.012306763648986816,
70
- 0.012297643661499023,
71
- 0.012289804458618164,
72
- 0.012282604217529297,
73
- 0.012422445297241212,
74
- 0.012251724243164062,
75
- 0.012250123977661133,
76
- 0.01226004409790039,
77
- 0.01226868438720703,
78
- 0.012326443672180176,
79
- 0.012240843772888184,
80
- 0.012325163841247558,
81
- 0.012208844184875488,
82
- 0.01228132438659668,
83
- 0.012304524421691894,
84
- 0.012264204025268555,
85
- 0.012329483985900879,
86
- 0.012249163627624512,
87
- 0.012320043563842774,
88
- 0.012291563987731933,
89
- 0.016358457565307617,
90
- 0.01248420524597168,
91
- 0.012265323638916015,
92
- 0.012286284446716308,
93
- 0.012334124565124512,
94
- 0.01228836441040039,
95
- 0.012294283866882324,
96
- 0.012310124397277833,
97
- 0.01229332447052002,
98
- 0.012378925323486329,
99
- 0.01233924388885498,
100
- 0.012274924278259278,
101
- 0.01227204418182373,
102
- 0.012356365203857422,
103
- 0.012243083000183105,
104
- 0.012524683952331543,
105
- 0.012796845436096192,
106
- 0.012838766098022461,
107
- 0.01269444465637207,
108
- 0.01257540512084961,
109
- 0.012486604690551758,
110
- 0.01258900547027588,
111
- 0.01227316379547119,
112
- 0.012354763984680175,
113
- 0.012236364364624023,
114
- 0.012385804176330567,
115
- 0.012315403938293458,
116
- 0.012361804008483886,
117
- 0.012303564071655273,
118
- 0.012293643951416015,
119
- 0.012287083625793458,
120
- 0.012286284446716308,
121
- 0.01233828353881836,
122
- 0.012340204238891601,
123
- 0.01232308292388916,
124
- 0.012257164001464843,
125
- 0.012228524208068848,
126
- 0.012266763687133789,
127
- 0.012255404472351074,
128
- 0.012302603721618652
129
  ]
130
  },
131
  "throughput": {
132
  "unit": "samples/s",
133
- "value": 79.68672975018316
134
  },
135
  "energy": null,
136
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 892.157952,
6
+ "max_global_vram": 1059.88096,
7
+ "max_process_vram": 43773.124608,
8
  "max_reserved": 773.849088,
9
  "max_allocated": 736.603648
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 6.9059306640625,
15
+ "mean": 6.9059306640625,
16
  "stdev": 0.0,
17
+ "p50": 6.9059306640625,
18
+ "p90": 6.9059306640625,
19
+ "p95": 6.9059306640625,
20
+ "p99": 6.9059306640625,
21
  "values": [
22
+ 6.9059306640625
23
  ]
24
  },
25
  "throughput": null,
 
29
  "forward": {
30
  "memory": {
31
  "unit": "MB",
32
+ "max_ram": 1037.172736,
33
+ "max_global_vram": 1122.811904,
34
+ "max_process_vram": 275492.78208,
35
  "max_reserved": 773.849088,
36
  "max_allocated": 745.086976
37
  },
38
  "latency": {
39
  "unit": "s",
40
+ "count": 78,
41
+ "total": 0.998009068489075,
42
+ "mean": 0.012794988057552241,
43
+ "stdev": 0.0008244442216062038,
44
+ "p50": 0.012593813419342043,
45
+ "p90": 0.013112023830413818,
46
+ "p95": 0.013287952756881714,
47
+ "p99": 0.01681241527557374,
48
  "values": [
49
+ 0.013361336708068848,
50
+ 0.013283416748046875,
51
+ 0.013181337356567383,
52
+ 0.013144856452941894,
53
+ 0.013118295669555665,
54
+ 0.01292597484588623,
55
+ 0.012872055053710937,
56
+ 0.012761494636535645,
57
+ 0.01264565372467041,
58
+ 0.012742295265197753,
59
+ 0.012821174621582032,
60
+ 0.01282597541809082,
61
+ 0.01884584045410156,
62
+ 0.01620502853393555,
63
+ 0.01246325397491455,
64
+ 0.01233413314819336,
65
+ 0.012280692100524902,
66
+ 0.01243509292602539,
67
+ 0.012429972648620606,
68
+ 0.012522294044494628,
69
+ 0.012543893814086915,
70
+ 0.012764533996582032,
71
+ 0.012638294219970703,
72
+ 0.012638294219970703,
73
+ 0.012631733894348145,
74
+ 0.012736695289611816,
75
+ 0.012589014053344727,
76
+ 0.012604054450988769,
77
+ 0.012620373725891114,
78
+ 0.012682933807373047,
79
+ 0.01266245460510254,
80
+ 0.012621334075927734,
81
+ 0.012562933921813966,
82
+ 0.012546454429626465,
83
+ 0.012520374298095703,
84
+ 0.012545494079589844,
85
+ 0.012534453392028808,
86
+ 0.012583892822265625,
87
+ 0.012468692779541015,
88
+ 0.012572693824768066,
89
+ 0.01250821304321289,
90
+ 0.012595732688903809,
91
+ 0.012516532897949219,
92
+ 0.012547413825988769,
93
+ 0.012503414154052735,
94
+ 0.012565174102783204,
95
+ 0.012526613235473633,
96
+ 0.012930456161499024,
97
+ 0.012591733932495117,
98
+ 0.012600693702697754,
99
+ 0.012560853958129883,
100
+ 0.012643573760986328,
101
+ 0.01253797435760498,
102
+ 0.012547413825988769,
103
+ 0.01255125331878662,
104
+ 0.012525012969970703,
105
+ 0.012563094139099121,
106
+ 0.013047256469726563,
107
+ 0.0133136568069458,
108
+ 0.013109335899353028,
109
+ 0.01294885540008545,
110
+ 0.01269573402404785,
111
+ 0.012713494300842286,
112
+ 0.012735415458679199,
113
+ 0.012694933891296386,
114
+ 0.012733494758605957,
115
+ 0.012589014053344727,
116
+ 0.01257253360748291,
117
+ 0.012527572631835937,
118
+ 0.012674294471740722,
119
+ 0.012613493919372559,
120
+ 0.012540054321289063,
121
+ 0.012591894149780274,
122
+ 0.012583733558654785,
123
+ 0.012554133415222168,
124
+ 0.01256997299194336,
125
+ 0.012545172691345214,
126
+ 0.012571093559265136
 
 
127
  ]
128
  },
129
  "throughput": {
130
  "unit": "samples/s",
131
+ "value": 78.15560245167639
132
  },
133
  "energy": null,
134
  "efficiency": null